[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-32295":3,"doc-seo-32295":27},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"file_id":15,"file_url":16,"file_type":17,"file_size":18,"view_count":19,"is_deleted":4,"is_public":19,"is_downloadable":19,"audit_status":19,"page_count":20,"language":21,"language_code":22,"table_of_contents":23,"faqs":24,"seo_title":13,"seo_description":14,"update_tm":25,"read_time":26},32295,1374391974468,"Eden","https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0",8,"Research & Report","Dynamic Factor Models","Dynamic factor models provide a framework for describing how multiple observed time series evolve through a small number of underlying latent factors that change over time. The document emphasizes modeling dependence and shared variation across series, enabling noise-robust inference of temporal structure. It focuses on the construction and interpretation of dynamic components, supporting analysis that adapts to time-varying signals and can be used for tasks requiring joint tracking, forecasting, and dimensionality reduction.","cbCaisFISG7e1Ry0","https://ap.wps.com/l/cbCaisFISG7e1Ry0","pdf",19829574,1,685,"English","en","# Modeling Framework\n## Latent Dynamic Factors\n## Cross-Series Dependence","[{\"question\":\"What is the main idea behind dynamic factor models?\",\"answer\":\"Dynamic factor models explain multiple time series using a small set of latent factors that evolve over time, capturing shared variation and temporal structure.\"},{\"question\":\"How do dynamic factor models handle dependence among multiple series?\",\"answer\":\"They model cross-series dependence through common latent factors, allowing joint structure to drive simultaneous movements across observations.\"},{\"question\":\"What kinds of problems are dynamic factor models commonly used for?\",\"answer\":\"They are typically used for tasks such as time series tracking and forecasting, especially when observations share underlying drivers and dimensionality needs to be reduced.\"}]",1781044430,1726,{"code":4,"msg":28,"data":29},"ok",{"site_id":30,"language":22,"slug":31,"title":13,"keywords":32,"description":14,"schema_data":33,"social_meta":85,"head_meta":87,"extra_data":89,"updated_unix":25},105,"dynamic-factor-models","",{"@graph":34,"@context":84},[35,52,67],{"@type":36,"itemListElement":37},"BreadcrumbList",[38,42,46,49],{"item":39,"name":40,"@type":41,"position":19},"https://docshare.wps.com","Home","ListItem",{"item":43,"name":44,"@type":41,"position":45},"https://docshare.wps.com/document/","Document",2,{"item":47,"name":12,"@type":41,"position":48},"https://docshare.wps.com/document/research-report/",3,{"item":50,"name":13,"@type":41,"position":51},"https://docshare.wps.com/document/dynamic-factor-models/32295/",4,{"url":50,"name":13,"@type":53,"author":54,"headline":13,"publisher":56,"fileFormat":59,"description":14,"dateModified":60,"datePublished":61,"encodingFormat":59,"isAccessibleForFree":62,"interactionStatistic":63},"DigitalDocument",{"name":9,"@type":55},"Person",{"url":39,"name":57,"@type":58},"DocShare","Organization","application/pdf","2026-06-12","2026-06-09",true,{"@type":64,"interactionType":65,"userInteractionCount":19},"InteractionCounter",{"@type":66},"ViewAction",{"@type":68,"mainEntity":69},"FAQPage",[70,76,80],{"name":71,"@type":72,"acceptedAnswer":73},"What is the main idea behind dynamic factor models?","Question",{"text":74,"@type":75},"Dynamic factor models explain multiple time series using a small set of latent factors that evolve over time, capturing shared variation and temporal structure.","Answer",{"name":77,"@type":72,"acceptedAnswer":78},"How do dynamic factor models handle dependence among multiple series?",{"text":79,"@type":75},"They model cross-series dependence through common latent factors, allowing joint structure to drive simultaneous movements across observations.",{"name":81,"@type":72,"acceptedAnswer":82},"What kinds of problems are dynamic factor models commonly used for?",{"text":83,"@type":75},"They are typically used for tasks such as time series tracking and forecasting, especially when observations share underlying drivers and dimensionality needs to be reduced.","https://schema.org",{"og:url":50,"og:type":86,"og:title":13,"og:site_name":57,"og:description":14},"article",{"robots":88,"canonical":50},"index,follow",{"doc_id":7,"site_id":30}]